rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Computational Methods for Inverse Problems in Imaging
  name:
    name part: Donatelli, Marco.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Serra-Capizzano, Stefano.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: IX, 166 p. 69 illus., 50 illus. in color. online resource.
  abstract: This book presents recent mathematical methods in the area of inverse problems in imaging with a particular focus on the computational aspects and applications. The formulation of inverse problems in imaging requires accurate mathematical modeling in order to preserve the significant features of the image. The book describes computational methods to efficiently address these problems based on new optimization algorithms for smooth and nonsmooth convex minimization, on the use of structured (numerical) linear algebra, and on multilevel techniques. It also discusses various current and challenging applications in fields such as astronomy, microscopy, and biomedical imaging. The book is intended for researchers and advanced graduate students interested in inverse problems and imaging.
  table of contents: 1 Silvia Bonettini et al., Recent advances in variable metric first-order methods -- 2 Davide Bianchi et al., Structure preserving preconditioning for frame-based image deblurring -- 3 Pietro Dell'Acqua et al, Non-stationary structure-preserving preconditioning for image restoration -- 4 Sean Hon and Andy Wathen, Numerical investigation of the spectral distribution of Toeplitz-function sequences -- 5 Anna Maria Massone et al., The Hough transform and the impact of chronic leukemia on the compact bone tissue from CT-images analysis -- 6 Marco Prato et al., Multiple image deblurring with high dynamic-range Poisson data -- 7 Silvia Tozza and Maurizio Falcone, On the segmentation of astronomical images via level-set methods.
  note: edited by Marco Donatelli, Stefano Serra-Capizzano.
  subject:
    topic: Computer mathematics
  subject:
    topic: Mathematical physics
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Computational Mathematics and Numerical Analysis
  subject:
    topic: Mathematical Applications in the Physical Sciences
  subject:
    topic: Mathematical and Computational Engineering
  classification: QA71-90
  classification: 518
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer INdAM Series, 36
  identifier: 9783030328825
  identifier: https://doi.org/10.1007/978-3-030-32882-5
  record info:
    record creation date: 191126
    record change date: 20191126201452.0
    record identifier: 978-3-030-32882-5